Mohammad Sayari mohammad.sayari@durham.ac.uk
Research Assistant
Using linear mixed models to compare a self-assessed frailty score with clinician assessed scores in patients approaching major surgery
Sayari, Mohammad; Durrand, James; Taylor, Christopher; Einbeck, Jochen; Kharatikoopaei, Ehsan; Craig, Joshua; Griffiths, Nathan
Authors
James Durrand
Christopher Taylor
Professor Jochen Einbeck jochen.einbeck@durham.ac.uk
Professor
Ehsan Kharatikoopaei
Joshua Craig
Nathan Griffiths
Abstract
Frailty is a syndrome of reduced physiological and cognitive reserve resulting in vulnerability to physiological insult and delayed recovery. It is a recog-nised predictor of poor perioperative outcomes. The Rockwood clinical frailty score (CFS) is a validated frailty screening tool based on the appearance of the patient in clinics. A study sponsored by South Tees Hospitals NHS Foundation Trust investigated whether patients may be able to self-assess their frailty utilizing a modified Rockwood CFS, by benchmarking the self-assessed scores with a clinician-and a researcher-assessed CFS score. A linear mixed-effects model, involving covariates such as age and ASA scores, was used to compare the CFS frailty scores and to identify any differences in their agreement. Linear mixed-effect model trees were also used for a better understanding of interactions of covariates and scorer effects.
Citation
Sayari, M., Durrand, J., Taylor, C., Einbeck, J., Kharatikoopaei, E., Craig, J., & Griffiths, N. (2024, July). Using linear mixed models to compare a self-assessed frailty score with clinician assessed scores in patients approaching major surgery. Presented at International Workshop on Statistical Modelling, Durham
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | International Workshop on Statistical Modelling |
Start Date | Jul 15, 2024 |
End Date | Jul 19, 2024 |
Acceptance Date | Apr 10, 2024 |
Online Publication Date | Jul 15, 2024 |
Publication Date | Jul 15, 2024 |
Deposit Date | Jan 12, 2025 |
Publicly Available Date | Jan 14, 2025 |
Publisher | Durham University |
Peer Reviewed | Peer Reviewed |
Chapter Number | Proceedings of the 38th International Workshop on Statistical Modelling |
ISBN | 9780907552444 |
Keywords | Frailty; peri-operative care; Clinical Frailty Scale; Cohen's kappa statistic; linear mixed-effects model |
Public URL | https://durham-repository.worktribe.com/output/3332710 |
Publisher URL | https://maths.dur.ac.uk/iwsm2024/ |
External URL | http://www.statmod.org/workshops_archive_proceedings_2024.html |
Files
Accepted Conference Paper
(536 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This accepted manuscript is licensed under the Creative Commons Attribution 4.0 licence. https://creativecommons.org/licenses/by/4.0/
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